Remote Lead AI Researcher: Reinforcement Learning

Placements24

Stellenbosch

Hybrid

ZAR 900,000 - 1,300,000

Full time

4 days ago
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Benefits offered by this job

Remote work
Competitive salary
Health coverage
Retirement plan
Conference funding

Job summary

Placements24 is seeking a Lead AI Researcher specializing in Reinforcement Learning to join a fully remote R&D team. You will lead researchers, drive cutting-edge RL research, and translate breakthroughs into real-world applications from your home office.

The ideal candidate holds a PhD in CS/AI/ML, 8+ years of AI/ML work with strong RL, and a proven publication record. Expect high autonomy, collaboration with product teams, and leadership responsibilities.

Qualifications

  • PhD in Computer Science, AI, ML or related field with strong RL focus.
  • 8+ years of AI/ML research experience with emphasis on Reinforcement Learning.
  • Track record of publications in top AI conferences and journals.
  • Deep understanding of RL algorithms and theory.
  • Proficiency in Python and DL frameworks (TF/PyTorch).
  • Experience with RL libraries (RLlib, Stable Baselines).
  • Strong leadership, communication, and remote collaboration skills.

Responsibilities

  • Conduct pioneering RL research, develop novel RL algorithms and models.
  • Lead and mentor a team of researchers and engineers.
  • Publish findings in top AI conferences and journals.
  • Collaborate with product and engineering teams to translate research into applications.
  • Define RL roadmaps and strategic directions for RL initiatives.
  • Evaluate performance and scalability of RL methods.

Skills

Reinforcement Learning
Python
PyTorch
TensorFlow
RL libraries
Leadership
Mentoring

Education

PhD in Computer Science/AI/ML

Tools

TensorFlow
PyTorch
RLlib
Stable Baselines

Job description

Placements24 is seeking a Lead AI Researcher specializing in Reinforcement Learning to join a fully remote R&D team. You will lead researchers, drive cutting-edge RL research, and translate breakthroughs into real-world applications from your home office.

The ideal candidate holds a PhD in CS/AI/ML, 8+ years of AI/ML work with strong RL, and a proven publication record. Expect high autonomy, collaboration with product teams, and leadership responsibilities.

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